Sony Interactive Entertainment Inc.

Opengov, Inc.

Gabor Melli

Adil Ahmed Sherwani

Xiaohan Zhang

Jay Robert Franck

Rui Li

Daniel S Hiatt

Mischa G Stephens

Nitin Y Mohan

Derek Andrew Parker

Oscar Michael Sanchez

Xifan Chen

Matthew Seal

Ai Sasho

Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data and an identifier of a mechanic used to complete the activity. The identifiers can be predefined in program code of the video game. The identifiers data can be received based on an execution of the program code. The event data is processed to determine, for a user that has not completed the activity, a readiness of the user to perform the activity. Depending on the readiness, the activity can be suggested in a user interface element.

Server-based game activity suggestions

Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data indicating completion of the activity. The identifier can be predefined in program code of the video game. The identifier and completion data can be received based on an execution of the program code. The event data is processed to provide assistance videos to improve activity completion rates in the video game. The videos may be presented on the plurality of user devices.

Server-based video help in a video game

Techniques are disclosed herein for selecting a predictive model to perform on a set of hierarchical data. A selection of first time series data representing activity observed in a current period in a first hierarchy is received. Second time series data representing activity observed in a prior period in the first hierarchy is retrieved. Predictive models are performed using the second time series data as input, where each predictive model generates statistical outcomes for the current period. A score is generated in each of the plurality of predictive models based on a comparison of the statistical outcomes with the first time series data. Each of the predictive models is ranked based on the generated scores.

Auto-selection of hierarchically-related near-term forecasting models

Server-based game activity suggestions by readiness score

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San Francisco, CA, United States of America

Gabor Melli